The mission of the Systems and Computational Biology Core (SCB) is to provide technology resources and support services in systems and computational biology for KCI members, and to promote collaborative research in systems-based oncology across all five Programs. To accomplish this mission, SCB activities are focused in the areas of: 1) workflow planning and experimental design of studies in functional genomics, genetic variation, and cancer systems biology;2) analysis and interpretation of gene expression profiling data (e.g., oncogenomic signatures);3) analysis and modeling of genotype profiling data from both population studies of inherited cancer risk factors and from molecular studies of somatic variation in individual tumors;4) pathway and network modeling of high throughput (""""""""omics"""""""") data for biomarker and drug target discovery;and 5) database management and integration of functional genomics and genotype data for clinical translational oncology (e.g., deployment of NCI caBIG tools). In particular, SCB activities enable the application of molecular profiling and network modeling approaches to clinical studies ranging from the molecular to the population level. The key service lines for the SCB provide an integrated workflow pipeline for all stages of a systems-based project, from pre-project planning and experimental design through post-experiment data analysis and interpretation. Consultation and user training are key components of SCB's approach to lowering the technology barrier for KCI members who wish to incorporate computational analytics and molecular profiling tools into their research projects.

Public Health Relevance

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Center Core Grants (P30)
Project #
5P30CA022453-32
Application #
8600873
Study Section
Subcommittee G - Education (NCI)
Project Start
Project End
Budget Start
2013-12-01
Budget End
2014-11-30
Support Year
32
Fiscal Year
2014
Total Cost
$108,478
Indirect Cost
$37,111
Name
Wayne State University
Department
Type
DUNS #
001962224
City
Detroit
State
MI
Country
United States
Zip Code
48202
Chammaa, May; Malysa, Agnes; Redondo, Carlos et al. (2018) RUMI is a novel negative prognostic marker and therapeutic target in non-small-cell lung cancer. J Cell Physiol 233:9548-9562
Alsaab, Hashem O; Sau, Samaresh; Alzhrani, Rami M et al. (2018) Tumor hypoxia directed multimodal nanotherapy for overcoming drug resistance in renal cell carcinoma and reprogramming macrophages. Biomaterials 183:280-294
Mills, Anne M; Peres, Lauren C; Meiss, Alice et al. (2018) Targetable Immune Regulatory Molecule Expression in High-Grade Serous Ovarian Carcinomas in African American Women: A Study of PD-L1 and IDO in 112 Cases From the African American Cancer Epidemiology Study (AACES). Int J Gynecol Pathol :
Vaishampayan, Ulka N; Podgorski, Izabela; Heilbrun, Lance K et al. (2018) Biomarkers and Bone Imaging Dynamics Associated with Clinical Outcomes of Oral Cabozantinib Therapy in Metastatic Castrate-Resistant Prostate Cancer. Clin Cancer Res :
Sexton, Rachel E; Hachem, Ali H; Assi, Ali A et al. (2018) Metabotropic glutamate receptor-1 regulates inflammation in triple negative breast cancer. Sci Rep 8:16008
Campbell, Douglas H; Lund, Maria E; Nocon, Aline L et al. (2018) Detection of glypican-1 (GPC-1) expression in urine cell sediments in prostate cancer. PLoS One 13:e0196017
Saadat, Nadia; Liu, Fangchao; Haynes, Brittany et al. (2018) Nano-delivery of RAD6/Translesion Synthesis Inhibitor SMI#9 for Triple-negative Breast Cancer Therapy. Mol Cancer Ther 17:2586-2597
Cheriyan, Vino T; Alsaab, Hashem; Sekhar, Sreeja et al. (2018) A CARP-1 functional mimetic compound is synergistic with BRAF-targeting in non-small cell lung cancers. Oncotarget 9:29680-29697
Burl, Rayanne B; Ramseyer, Vanesa D; Rondini, Elizabeth A et al. (2018) Deconstructing Adipogenesis Induced by ?3-Adrenergic Receptor Activation with Single-Cell Expression Profiling. Cell Metab 28:300-309.e4
Dedigama-Arachchige, Pavithra M; Acharige, Nuwan P N; Pflum, Mary Kay H (2018) Identification of PP1-Gadd34 substrates involved in the unfolded protein response using K-BIPS, a method for phosphatase substrate identification. Mol Omics 14:121-133

Showing the most recent 10 out of 826 publications